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High-Content Scientific Imaging and Data Analysis

Open

Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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This subcontract, titled High-Content Scientific Imaging and Data Analysis, is issued by the National Institutes of Health Nida under the Department of Health and Human Services. The project focuses on providing comprehensive support for automated scientific imaging and high-content imaging, with a specific emphasis on the analysis of large-scale imaging datasets. Key technical requirements include system maintenance and the integration of imaging systems with data pipelines to facilitate machine learning-driven analysis. The work is categorized under NAICS code 541715 and is designated for performance in Rockville. Posted on December 15, 2025, the contract aims to enhance the capabilities of scientific imaging workflows through advanced data processing and automated analysis tools.

General Info

Agency

Department Of Health And Human Services → National Institutes Of Health Nida

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Place of Performance

Rockville, MD, USA

Set-Aside

NONE

Documents

This scope was carved out of 26-000105.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

NCATS Research Services Core (RSC) Limited Specialized Scientific Services

AI Contract Breakdown

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Timeline

PostedDec 15

subcontract

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Organization & Contact Information

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AgencyDepartment Of Health And Human Services → National Institutes Of Health Nida

ContactsNo contacts available

OfficeN/A

Organization / AgencyDepartment Of Health And Human Services → National Institutes Of Health Nida

Office AddressN/A

ContactsNo contact information available

Full Description

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Support for automated scientific imaging, high-content imaging, and analysis of large-scale imaging datasets, including system maintenance and integration with data pipelines for machine learning-driven analysis.

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